{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,4]],"date-time":"2026-01-04T10:44:52Z","timestamp":1767523492268,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,10]],"date-time":"2021-12-10T00:00:00Z","timestamp":1639094400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12,10]]},"DOI":"10.1145\/3510513.3510524","type":"proceedings-article","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T10:18:16Z","timestamp":1652177896000},"page":"66-72","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Brain MR image registration based on an Improved CNN Model"],"prefix":"10.1145","author":[{"given":"Qiang","family":"Wang","sequence":"first","affiliation":[{"name":"Software College, Zhengzhou University of Light Industry, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Sias University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Juan Ba","sequence":"additional","affiliation":[{"name":"Software College, Zhengzhou University of Light Industry, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Yuan","sequence":"additional","affiliation":[{"name":"Software College, Zhengzhou University of Light Industry, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,5,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.21037\/qims-20-705"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2017.10.001"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/61\/2\/R1"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"issue":"3","key":"e_1_3_2_1_5_1","first-page":"404","article-title":"Speeded Up Robust Features[J]","volume":"110","author":"Bay H. SURF","year":"2006","unstructured":"Bay H. SURF : Speeded Up Robust Features[J] . Computer Vision & Image Understanding , 2006 , 110 ( 3 ): 404 - 417 . Bay H. SURF: Speeded Up Robust Features[J]. Computer Vision & Image Understanding, 2006, 110(3):404-417.","journal-title":"Computer Vision & Image Understanding"},{"key":"e_1_3_2_1_6_1","volume-title":"The history began from alexnet: A comprehensive survey on deep learning approaches[J]. arXiv preprint arXiv:1803.01164","author":"Alom M Z","year":"2018","unstructured":"Alom M Z , Taha T M , Yakopcic C , The history began from alexnet: A comprehensive survey on deep learning approaches[J]. arXiv preprint arXiv:1803.01164 , 2018 . Alom M Z, Taha T M, Yakopcic C, The history began from alexnet: A comprehensive survey on deep learning approaches[J]. arXiv preprint arXiv:1803.01164, 2018."},{"key":"e_1_3_2_1_7_1","volume-title":"Faster r-cnn: Towards real-time object detection with region proposal networks[J]. Advances in neural information processing systems","author":"Ren S","year":"2015","unstructured":"Ren S , He K , Girshick R , Faster r-cnn: Towards real-time object detection with region proposal networks[J]. Advances in neural information processing systems , 2015 , 28: 91-99. Ren S, He K, Girshick R, Faster r-cnn: Towards real-time object detection with region proposal networks[J]. Advances in neural information processing systems, 2015, 28: 91-99."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"He K Zhang X Ren S Deep residual learning for image recognition[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770-778.  He K Zhang X Ren S Deep residual learning for image recognition[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770-778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_9_1","volume-title":"Brox T. U-net: Convolutional networks for biomedical image segmentation[C]\/\/International Conference on Medical image computing and computer-assisted intervention","author":"Ronneberger O","year":"2015","unstructured":"Ronneberger O , Fischer P , Brox T. U-net: Convolutional networks for biomedical image segmentation[C]\/\/International Conference on Medical image computing and computer-assisted intervention . Springer , Cham , 2015 : 234-241. Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]\/\/International Conference on Medical image computing and computer-assisted intervention. Springer, Cham, 2015: 234-241."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"e_1_3_2_1_11_1","volume-title":"Deep compressive macroscopic fluorescence lifetime imaging[C]\/\/2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI","author":"Yao R","year":"2018","unstructured":"Yao R , Ochoa M , Intes X , Deep compressive macroscopic fluorescence lifetime imaging[C]\/\/2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 ). IEEE , 2018: 908-911. Yao R, Ochoa M, Intes X, Deep compressive macroscopic fluorescence lifetime imaging[C]\/\/2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE, 2018: 908-911."},{"key":"e_1_3_2_1_12_1","volume-title":"Scalable high-performance image registration framework by unsupervised deep feature representations learning[J]","author":"Wu G","year":"2015","unstructured":"Wu G , Kim M , Wang Q , Scalable high-performance image registration framework by unsupervised deep feature representations learning[J] . IEEE transactions on biomedical engineering, 2015 , 63(7): 1505-1516. Wu G, Kim M, Wang Q, Scalable high-performance image registration framework by unsupervised deep feature representations learning[J]. IEEE transactions on biomedical engineering, 2015, 63(7): 1505-1516."},{"key":"e_1_3_2_1_13_1","volume-title":"Pluim J P W. Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks[J]. Journal of medical imaging","author":"Eppenhof K A J","year":"2018","unstructured":"Eppenhof K A J , Pluim J P W. Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks[J]. Journal of medical imaging , 2018 , 5(2): 024003. Eppenhof K A J, Pluim J P W. Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks[J]. Journal of medical imaging, 2018, 5(2): 024003."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-018-1875-7"},{"key":"e_1_3_2_1_15_1","volume-title":"Very deep convolutional networks for large-scale image recognition[J]. arXiv preprint arXiv:1409.1556","author":"Simonyan K","year":"2014","unstructured":"Simonyan K , Zisserman A. Very deep convolutional networks for large-scale image recognition[J]. arXiv preprint arXiv:1409.1556 , 2014 . Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[J]. arXiv preprint arXiv:1409.1556, 2014."},{"key":"e_1_3_2_1_16_1","first-page":"248","article-title":"A large-scale hierarchical image database[C]\/\/2009 IEEE conference on computer vision and pattern recognition","volume":"2009","author":"Deng J","unstructured":"Deng J , Dong W , Socher R , Imagenet : A large-scale hierarchical image database[C]\/\/2009 IEEE conference on computer vision and pattern recognition . Ieee , 2009 : 248 - 255 . Deng J, Dong W, Socher R, Imagenet: A large-scale hierarchical image database[C]\/\/2009 IEEE conference on computer vision and pattern recognition. Ieee, 2009: 248-255.","journal-title":"Ieee"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2853100"},{"key":"e_1_3_2_1_18_1","volume-title":"An approach to time series smoothing and forecasting using the EM algorithm[J]. Journal of time series analysis","author":"Shumway R H","year":"1982","unstructured":"Shumway R H , Stoffer D S . An approach to time series smoothing and forecasting using the EM algorithm[J]. Journal of time series analysis , 1982 , 3(4): 253-264. Shumway R H, Stoffer D S. An approach to time series smoothing and forecasting using the EM algorithm[J]. Journal of time series analysis, 1982, 3(4): 253-264."},{"key":"e_1_3_2_1_19_1","volume-title":"Iii W M W. Alignment by Maximization of Mutual Information[J]. international journal of computer vision","author":"Viola P","year":"1997","unstructured":"Viola P , Iii W M W. Alignment by Maximization of Mutual Information[J]. international journal of computer vision , 1997 . Viola P, Iii W M W. Alignment by Maximization of Mutual Information[J]. international journal of computer vision, 1997."},{"key":"e_1_3_2_1_20_1","volume-title":"Pattern Recognition","author":"Studholme C","year":"1999","unstructured":"Studholme C , Hill D L G , Hawkes D J . An Overlap Invariant Entropy Measure of 3D Medical Image Alignment[J] . Pattern Recognition , 1999 , 32(1): 71\u201386. Studholme C, Hill D L G, Hawkes D J. An Overlap Invariant Entropy Measure of 3D Medical Image Alignment[J]. Pattern Recognition, 1999, 32(1): 71\u201386."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACT.2009.207"},{"key":"e_1_3_2_1_22_1","volume-title":"Image registration methods: a survey[J]. Image and vision computing","author":"Zitova B","year":"2003","unstructured":"Zitova B , Flusser J. Image registration methods: a survey[J]. Image and vision computing , 2003 , 21(11): 977-1000. Zitova B, Flusser J. Image registration methods: a survey[J]. Image and vision computing, 2003, 21(11): 977-1000."},{"key":"e_1_3_2_1_23_1","unstructured":"Ge P Chen Q GU Y. Remote sensing image matching algorithm based on Harris corner and SURF feature [J]. Application research of computers 2014 31(7): 2205-2208  Ge P Chen Q GU Y. Remote sensing image matching algorithm based on Harris corner and SURF feature [J]. Application research of computers 2014 31(7): 2205-2208"}],"event":{"name":"ICNCC 2021: 2021 The 10th International Conference on Networks, Communication and Computing","acronym":"ICNCC 2021","location":"Beijing China"},"container-title":["2021 The 10th International Conference on Networks, Communication and Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3510513.3510524","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3510513.3510524","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:19Z","timestamp":1750191139000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3510513.3510524"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,10]]},"references-count":23,"alternative-id":["10.1145\/3510513.3510524","10.1145\/3510513"],"URL":"https:\/\/doi.org\/10.1145\/3510513.3510524","relation":{},"subject":[],"published":{"date-parts":[[2021,12,10]]},"assertion":[{"value":"2022-05-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}